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Calibration area normalization

HPA catalyzed liquid phase nitration was eairied out in a Teflon-lined stainless autoclave of 200 mL equipped with a magnetic stirrer. Reactants and HPA were quantitatively added to the autoclave, which was sealed and heated in an oil-bath. Products were analyzed by GC with OV-101 30 m capillary column and FID detector by using calibrated area normalization and internal standard method. All products were confirmed by GC-MASS analysis. [Pg.354]

Normally a calibration curve—molar mass against the total retention volume—exists for every GPC column or column combination. As a measure of the separation efficiency of a given column (set) the difference in the retention of two molar masses can be determined from this calibration curve. The same eluent and the same type of calibration standards have to be used for the comparison of different columns or sets. However, this volume difference is not in itself sufficient. In a first approximation the cross section area does not contribute to the separation. Dividing the retention difference by the cross section area normalizes the retention volume for different diameters of columns. The ISO standard method (3) contains such an equation... [Pg.436]

In the cases where liquid formulations are applied, calibration is normally performed by collecting the output volume over a given time period. Generally a minimum of three such measurements should be taken in order to estimate output consistency. Where output is collected from multiple nozzles or outlets, each nozzle or outlet should be evaluated in order to ensure uniformity of output across all the nozzles or outlets. If the deviation from the manufacturer s recommended value is not within 5% (or the value specified in an appropriate SOP), the nozzle or outlet should be replaced. The use of a patternator allows the droplet distribution pattern of the nozzles or outlets to be measured accurately, and this check should be conducted annually. Having estimated the output of the equipment, the time required to treat a specific area with a known quantity of test item solution can be calculated. [Pg.182]

If, as illustrated in figure 12.6, the isothermal starting lines of the various curves do not coincide, then A< >o, A< cai, and Aheat transfer change between runs, for example, due to a variation in the purge gas flow or the fact that it is virtually impossible to relocate the crucible containing the sample exactly in the position used for the calibrant run (normally the reference crucible remains in place throughout a series of runs). Note that a similar correction should have been used in the computation of heat flow or area quantities if, in the example of figure 12.4, the isothermal baselines of the main experiment and the zero line were not coincident. [Pg.183]

If a calibration curve is not made and a data system is used to make the calculations, a slightly different procedure is followed. A calibration mixture prepared from pure standards is made by weight and chromatographed. Absolute calibration factors, equal to the grams per area produced, are stored in the data system for each analyte. When the unknown mixture is run, these factors are multiplied times the respective areas of each analyte in the unknown resulting in a value for the mass of each analyte. This procedure is a one-point calibration, as compared to the multipoint curve described before, and is somewhat less precise. Note also that these calibration factors are not the same as the relative response factors used in the area normalization method. [Pg.209]

The method of area normalization requires that all sample components eluted from the analytical separator column have been detected. If response factors are not taken into account this method can only be applied to the calibration of sample components having the same response. [Pg.336]

The absorbance can be expressed in terms of absorbance peak height or area (area was used in the expressions above). Each species has to be calibrated separately. Normally, there are no detectable blanks for arsenite and the methylarsenic species. The linearity of the calibration curve is dependent on the optical characteristics of the instrument and the intensity of the light source. It needs to be evaluated for each instrument and checked occasionally. The analytical curve should not be extrapolated beyond the highest standard concentration. [Pg.281]

As is apparent from the table, it is not easy to select the most appropriate method for quantification. The plot of peak height (peak area) against concentration is linear only within a narrow range of concentrations and, therefore, the application of a 5-point calibration covering the total range of concentrations is highly recommended. Similarly, the usefulness of the internal standard method relates mainly to those analytical tasks requiring complex sample preparation procedures. Area normalization can not be used for the evaluation of the TLC results. [Pg.838]

Due to its nature, random error cannot be eliminated by calibration. Hence, the only way to deal with it is to assess its probable value and present this measurement inaccuracy with the measurement result. This requires a basic statistical manipulation of the normal distribution, as the random error is normally close to the normal distribution. Figure 12.10 shows a frequency histogram of a repeated measurement and the normal distribution f(x) based on the sample mean and variance. The total area under the curve represents the probability of all possible measured results and thus has the value of unity. [Pg.1125]

Combustible gas detection systems are frequently used in areas of poor ventilation. By the early detection of combustible gas releases before ignitible concentration levels occur, corrective procedures such as shutting down equipment, deactivating electrical circuits and activating ventilation fans can be implemented prior to fire or explosion. Combustible gas detectors are also used to substantiate adequate ventilation. Most combustible gas detection systems, although responsive to a wide range of combustible gases and vapors, are normally calibrated specifically to indicate concentrations of methane since most natural gas is comprised primarily of methane. [Pg.513]

Sensing heads should be located in draft-free areas where possible, as air flowing past the sensors normally increases drift of calibration, shortens head life, and decreases sensitivity. Air deflectors are available from sensor manufacturers and should be utilized in any areas where significant air flow is anticipated (such as air conditioner plenum applicaiion.s). Additionally, sensors should be located, whenever possible, in loca[ion.s which are relatively free from vibration and easily accessed for calibration and maintenance. Obviously, this carmot always be accomplished. It usually is difficult, for example, to locate sensors in the tops of compressor buildings at locations which are accessible and which do not vibrate. [Pg.514]

Fig. 4.3. (A) Composite multispecies benthic foraminiferal Mg/Ca records from three deep-sea sites DSDP Site 573, ODP Site 926, and ODP Site 689. (B) Species-adjusted Mg/Ca data. Error bars represent standard deviations of the means where more than one species was present in a sample. The smoothed curve through the data represents a 15% weighted average. (C) Mg temperature record obtained by applying a Mg calibration to the record in (B). Broken line indicates temperatures calculated from the record assuming an ice-free world. Blue areas indicate periods of substantial ice-sheet growth determined from the S 0 record in conjunction with the Mg temperature. (D) Cenozoic composite benthic foraminiferal S 0 record based on Atlantic cores and normalized to Cibicidoides spp. Vertical dashed line indicates probable existence of ice sheets as estimated by (2). 3w, seawater S 0. (E) Estimated variation in 8 0 composition of seawater, a measure of global ice volume, calculated by substituting Mg temperatures and benthic 8 0 data into the 8 0 paleotemperature equation (Lear et al., 2000). Fig. 4.3. (A) Composite multispecies benthic foraminiferal Mg/Ca records from three deep-sea sites DSDP Site 573, ODP Site 926, and ODP Site 689. (B) Species-adjusted Mg/Ca data. Error bars represent standard deviations of the means where more than one species was present in a sample. The smoothed curve through the data represents a 15% weighted average. (C) Mg temperature record obtained by applying a Mg calibration to the record in (B). Broken line indicates temperatures calculated from the record assuming an ice-free world. Blue areas indicate periods of substantial ice-sheet growth determined from the S 0 record in conjunction with the Mg temperature. (D) Cenozoic composite benthic foraminiferal S 0 record based on Atlantic cores and normalized to Cibicidoides spp. Vertical dashed line indicates probable existence of ice sheets as estimated by (2). 3w, seawater S 0. (E) Estimated variation in 8 0 composition of seawater, a measure of global ice volume, calculated by substituting Mg temperatures and benthic 8 0 data into the 8 0 paleotemperature equation (Lear et al., 2000).
Figure 16.6 Calibration of the radiocarbon ages of the Cortona and Santa Croce frocks the software used[83] is OxCal v.3.10. Radiocarbon age is represented on the y axis as a random variable normally distributed experimental error of radiocarbon age is taken as the sigma of the Gaussian distribution. Calibration of the radiocarbon agegivesa distribution of probability that can no longer be described by a well defined mathematical form it is displayed in the graph as a dark area on the x axis... Figure 16.6 Calibration of the radiocarbon ages of the Cortona and Santa Croce frocks the software used[83] is OxCal v.3.10. Radiocarbon age is represented on the y axis as a random variable normally distributed experimental error of radiocarbon age is taken as the sigma of the Gaussian distribution. Calibration of the radiocarbon agegivesa distribution of probability that can no longer be described by a well defined mathematical form it is displayed in the graph as a dark area on the x axis...
GPC analyses were performed with a Waters Model 244 chromatograph using Microstyragel columns. Both differential refractive index and UV (254 nm) detectors were used. THF was the eluant with a flow rate of 2 ml min-1. A benzene internal standard was employed to correct for flow variations and for normalization of the integrated peak areas. The column set was calibrated using nearly monodispersed polystyrene standards and all molecular data are reported as polystyrene-equivalent molecular weights. [Pg.43]

Fixed temperature detectors are preferred because they require less calibration and maintenance. Heat detectors are normally more reliable than other types of detectors because of the simple nature of their operation and ease of maintenance. These factors tend to lead to fewer false alarms. The main disadvantage of heat detectors is that they are unlikely to detect fires in the incipient stage, where little heat is generated, but much smoke is likely.. Since heat detectors are inherently slower in operation than other types of detectors, they should be considered for installation in areas where high speed detection is not required. [Pg.188]

Concentration in the sample (c). This is normally calculated using both peak areas and peak heights as it is a good idea to postpone the selection of a calibration technique until after the ruggedness study. Mean number of theoretical plates, N, there are several methods to calculate N. The following calculation is often employed due to its convenience as it uses values which are previously collected as part of the data handling. [Pg.215]

Thompson and Hatina (135) showed that the sensitivity of a fluorescence detector toward unesterified vitamin E compounds under normal-phase conditions was at least 10 times greater than that of a variable-wavelength absorbance detector. The relative fluorescence responses of the tocopherols at 290 nm (excitation) and 330 nm (emission), as measured by HPLC peak area, were a-T, 100 /3-T, 129 y-T, 110 and 5-T, 122. The fluorescence responses of the corresponding to-cotrienols were very similar to those of the tocopherols, and therefore tocotrienol standards were not needed for calibration purposes. The fluorescence detector also allows the simultaneous monitoring of ubiquinone derivatives for example ubiquinone-10 has been detected in tomato (136). [Pg.355]


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See also in sourсe #XX -- [ Pg.336 ]

See also in sourсe #XX -- [ Pg.2 , Pg.955 ]

See also in sourсe #XX -- [ Pg.2 , Pg.569 ]




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